Inverter Failure Prevention Avoids Loss of 49 MWh with Predictive Analysis

Background

During continuous monitoring of a Distributed Generation solar plant, the Delfos Performance Engineering team identified intermittent shutdowns in one of the inverters (Huawei model SUN2000-215KTL-H3). Although the other inverters behaved normally, INV13 began to shut down at different times, even with solar irradiance above the minimum required - a behavior identified and evidenced by Delfos.

This abnormal pattern raised suspicions of a possible imminent failure. If it wasn't resolved in time, it could lead to prolonged equipment downtime, making diagnosis difficult and generating significant energy losses.

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Implemented Solution

Using the Delfos platform, the team analyzed alarms and historical series of active power. Using the Prediction and Alerts modules, it was possible to detect a degradation trend in the insulation of the INV13 inverter.

Delfos correlated the intermittent shutdowns with isolation alerts, issuing an early warning to the technical team. Based on this information, a technical report was produced, and the O&M team was activated preventively.

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Achieved Results

• Corrective action was carried out before a major failure, avoiding prolonged equipment downtime.
• Delfos enabled a quick and accurate diagnosis, saving troubleshooting time.
• 49 MWh of energy losses were avoided, representing a direct impact on plant performance.
• Reduced operational risk and increased asset availability.

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Conclusion

Delfos demonstrated its ability to turn operational data into high-impact decisions. Anticipating the failure due to insulation degradation not only avoided a critical problem, but also ensured the continuity of generation with high performance. The platform's predictive intelligence was key to rapid decision-making and energy savings.

- 49 MWh of energy saved
- 100% of faults avoided with targeted action
- Diagnosis issued in hours, versus days of reactive analysis
- Huawei SUN2000-215KTL-H3 inverter protected from critical failure

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